Moreover, under some hypotheses, the following theorem (see [1]})
allows to prove that the considered parameters are asymptotically normally distributed.
The notation used in the statement of this theorem is as follows:
if \(F\)  is a function of several variables, including \(v\) , \(F_v\)  denotes the partial derivative of \(F\)  with respect to \(v\) ;
as usual, \(\mathbb {E}\)  and \(\mathbb {V}ar\)  respectively denote expectation and variance;
\(\mathcal {N}(0,1)\)  is the standard normal distribution;
and \(\xrightarrow{}\)  denotes convergence in distribution.
